Abstract

Video data for the Internet traffic is increasing, and video data transmission is important for consideration of real-time process in the Internet of Things (IoT). Thus, in the IoT environment, video applications will be valuable approach in networks of smart sensor devices. High Efficiency Video Coding (HEVC) has been developed by the Joint Collaborative Team on Video Coding (JCT-VC) as a new generation video coding standard. Recently, HEVC includes range extensions (RExt), scalable coding extensions, and multiview extensions. HEVC RExt provides high resolution video with a high bit-depth and an abundance of color formats. In this paper, a fast intraprediction unit decision method is proposed to reduce the computational complexity of the HEVC RExt encoder. To design intramode decision algorithm, Local Binary Pattern (LBP) of the current prediction unit is used as texture feature. Experimental results show that the encoding complexity can be reduced by up to 12.35% on average in the AI-Main profile configuration with only a small bit-rate increment and a PSNR decrement, compared with HEVC test model (HM) 12.0-RExt4.0 reference software.

Highlights

  • The Internet of Things (IoT) is a sensing network that connects any object with the Internet using many kinds of sensor equipment

  • The High Efficiency Video Coding (HEVC) standard has adopted a highly flexible and efficient block partitioning based on introduction of the coding tree unit (CTU)

  • In HEVC range extensions (RExt), an advanced color Table and Index Map [17], intrablock copy (IntraBC) [18], and angular prediction with a weight function and a modification filter based on a blending filter for DC mode [19] have been proposed

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Summary

Introduction

The Internet of Things (IoT) is a sensing network that connects any object with the Internet using many kinds of sensor equipment. Along with the rapid development of IoT applications, new generations of mobile broadband networks, cloud computing, and video coding technology for video streaming in real-time all represent an interactive and realistic development direction for generation multimedia application networks. The HEVC version 1 has the primary goal of achieving a 50% high compression rate than the H.264/MPEG-4 AVC, especially with a primary focus on 8-bit/10-bit YUV 4:2:0 video This standardization supports high compression rate using improved and modified coding tools, the HEVC standard still requires a large amount of time for compression. HEVC is developing extensions to support several additional application scenarios, including professional uses with enhanced precision and color format support, scalable video coding, and 3D/stereo/multiview coding Among these extensions, the HEVC range extension (RExt) provides a high bit-depth (larger than 10 bits) and different color formats in high resolution sequences.

HEVC Encoding Structure and Related Works
1: Intra DC
Proposed Work
Experimental Results
Conclusions
Full Text
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